Google's DiffusionGemma generates 256 tokens in parallel and self-corrects as it goes

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU ...

Google open-sources speedy DiffusionGemma text diffusion model

Google says that DiffusionGemma can generate more than 1,000 tokens per second when running on a single H100, a server-grade ...

DiffusionGemma is Google's fastest AI yet, but it comes with a big trade-off

Google's DiffusionGemma takes a new approach to AI text generation, focusing on speed and parallel processing. But there's a ...
GitHub

IDM-VTON: Improving Diffusion Models for Authentic Virtual Try-on in the Wild

git clone https://github.com/yisol/IDM-VTON.git cd IDM-VTON conda env create -f environment.yaml conda activate idm You can download VITON-HD dataset from VITON-HD ...
IEEE

Cambricon-D: Full-Network Differential Acceleration for Diffusion Models

Abstract: Diffusion models have made significant progress in current image generation tasks, thus becoming a prominent area of research. Diffusion models necessitate repetitive iterations on minimally ...